Can a dashboard predict behavioral emergencies before they happen?
NCT ID NCT07746661
First seen Aug 05, 2026 · Last updated Aug 06, 2026 · Updated 1 time
Summary
This trial tests a clinical decision support tool that uses electronic health record data to predict which hospital patients are at higher risk of needing a Behavioral Emergency Response Team (BERT) within the next 48 hours. The tool displays a risk-stratified patient list in an Epic dashboard for providers over a 3-month period. The goal is to help clinicians identify high-risk patients earlier and plan proactive interventions. The study includes adult inpatients admitted to participating hospital units.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- A clinical decision support tool that uses electronic health record data to predict behavioral emergency risk
- What this could lead to
- If successful, this tool could help hospitals identify at-risk patients earlier and improve proactive behavioral health care.
- What could go wrong
- This is a small, early quality improvement project, so results may not apply broadly. The tool's predictions may not always be accurate.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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NYU Langone Health
New York, New York, 10016, United States